Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Responsibilities

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack
• Collaborate with AI researchers, developers and customers to develop innovative, automated tests
• Deep dive into performance and scale issues in complex distributed systems
• Design and develop monitoring, reporting and analysis tools for performance and scale testing
• Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale
• Build and maintain a high‑velocity framework that enables continuous, always‑on performance and scale testing
• Document research, methodologies and results clearly
• Engage efficiently with upstream communities

• 8+ years of experience
• Bachelors/Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience
• Expertise in Kubernetes and familiarity with related CNCF projects
• Background in working with large scale parallel and distributed accelerator‑based systems
• Expertise optimizing performance and AI workloads on large scale systems
• Experience with performance modeling and benchmarking at scale
• Proficiency in Golang/Python
• Background with the NVIDIA software ecosystem in both training and inference domains
• Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI for example)

• Kubernetes
• Golang
• Python
• performance modeling
• benchmarking
• distributed systems
• AI workloads optimization
• large scale systems
• NVIDIA software ecosystem
• CNCF projects

• collaboration
• problem-solving
• documentation
• communication
• engagement

• Bachelors in Engineering
• Masters in Engineering